Review of Battery State-of-Charge Estimation Algorithms

Abstract

State of charge (SOC) is an important parameter used by a battery management system (BMS). Accurate and robust algorithms ensure the safe and reliable functioning of cells or batteries. Thus far, the algorithms developed depend mainly on the current and voltage data received from individual cells or the entire battery. To ensure battery safety usage and reduce the average lifecycle cost, accurate state of charge (SOC), tracking algorithms for real-time implementation are essential in different applications. This paper aims to compare SOC estimation algorithms and modular algorithms that employ more than one traditional SOC estimation method. This paper aims to describe the basic theoretical concepts involved in the standard algorithms. It also discusses more accurate algorithms suited for online implementation, which is favorable for real applications.